First-pass extracted concept

functional connectomics

Candidate: concept label2 source documents3 linked claims
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Extracted Explainers

What the tool is doing

Functional connectomics is presented as the combined analysis of neural structure, activity, perturbation, and behavior in C. elegans. The review frames it as a way to interrogate both local and global neural circuits.

Source 2DOIPubMed

Resources required

The abstract states that combining experimental datasets with theoretical modeling is part of this approach.

Source 2DOIPubMed

What problem it solves

It aims to explain how neural networks process sensory information to generate behavioral output.

Source 2DOIPubMed

Alternatives

The abstract contrasts static connectome reconstruction alone with approaches that add activity measurements, perturbation, and computational modeling.

Source 2DOIPubMed

Evidence Snippets

In this review, we describe the technical capabilities offered by fUS and discuss how this technique can contribute to the field of functional connectomics.
Evidence 1Source 1DOIPubMedprovenance
This review discusses some recent technological advances used to analyze and perturb whole-organism neuronal function along with developments in computational modeling
Evidence 2Source 2DOIPubMedprovenance

Supporting Sources

Linked Claims

Claim 1use case summarysupports2021Source 1DOIPubMed

Functional ultrasound imaging is especially suited to interrogating brain activity at the systems level and can contribute to functional connectomics.

Quoted textsource-backed
These assets make fUS especially suited to interrogating brain activity at the systems level. In this review, we describe the technical capabilities offered by fUS and discuss how this technique can contribute to the field of functional connectomics.
Claim 2approach summarysupports2019Source 2DOIPubMed

Combining experimental datasets with theoretical modeling generates a better understanding of organismal behavior.

Claim 3review scopesupports2019Source 2DOIPubMed

Recent technological advances are used to analyze and perturb whole-organism neuronal function and, together with computational modeling, allow interrogation of local and global neural circuits leading to different behaviors.